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A Time to Model and a Time to Experiment.

Michel Morange1

  • 1IHPST, UMR 8590, Université Paris 1, 13 rue du Four, 75006 Paris, France.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|June 6, 2019
PubMed
Summary
This summary is machine-generated.

This study explores the diverse roles and functions of scientific models in molecular and cellular biology. It examines how models are developed, their relationship with experimental data, and their reception within the scientific community.

Keywords:
biological modelcell biologygene regulationsynthetic biologysystems biology

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Area of Science:

  • Philosophy of Science
  • Molecular and Cellular Biology

Background:

  • Models in science are diverse and serve multiple functions.
  • Molecular and cellular biology, as a field, utilizes models inherited from various contributing disciplines.
  • Models can represent abstract phenomena or aid in knowledge acquisition.

Purpose of the Study:

  • To analyze the nature and role of models in molecular and cellular biology.
  • To investigate the historical development and impact of specific models, including Gene Regulatory Networks.
  • To understand the criteria for successful model reception and its connection to experimental validation.

Main Methods:

  • Philosophical analysis of scientific modeling.
  • Historical review of key models in molecular and cellular biology.
  • Exploration of the interplay between theoretical models and experimental data.

Main Results:

  • Models in molecular and cellular biology exhibit significant diversity in form and function.
  • The acceptance of a model is influenced by its timing, methodology, and experimental congruence.
  • Models are crucial for both abstract conceptualization and concrete representation of biological phenomena.

Conclusions:

  • Effective scientific modeling requires careful consideration of timing and methodology.
  • A strong relationship with experimental data is vital for a model's acceptance and utility.
  • Models are indispensable tools for advancing understanding in molecular and cellular biology.